Product data quality degrades over time without governance.
Product data quality degrades over time without governance. System Strats establishes data governance frameworks: ownership, standards, workflows, and quality monitoring, all to keep your product information accurate, complete, and consistent across all channels long after initial implementation.
Data ownership and accountability frameworks
Quality standards and validation rules
Enrichment workflows and approval processes
Ongoing data quality monitoring and reporting
We evaluate your current product data, channels, and governance. We identify completeness gaps and quality issues.
We recommend and implement a PIM platform that scales with your portfolio. We design data models and workflows.
We migrate existing product data, enrich it with descriptions and assets, and establish quality standards. We set up validation rules.
We automate product data distribution to channels, monitor quality, and optimize for search and conversion on each platform.
We've implemented PIM systems for companies with complex product catalogs. We understand data governance, channel distribution, and the operational impact of poor product data. We treat PIM as foundational to omnichannel success.
Common questions about Product Information Management Product Data Governance, and how System Strats can help.
Product data governance defines who owns product data, what quality standards it must meet, how changes are reviewed and approved, and how data quality is monitored over time. It prevents the gradual degradation that makes product data unreliable.
We establish completeness rules, validation constraints, and quality KPIs for each channel. Regular reports show data quality trends and flag products that fall below standards.
We help define ownership based on your team structure: typically product managers own core data, marketing owns descriptions and creative, and operations owns logistics attributes. Clear ownership prevents gaps.
Many can. We configure validation rules that prevent bad data from being saved, workflow triggers that route incomplete products for enrichment, and automated alerts when data quality drops below thresholds.
Tell us about your project and we'll get back to you within 24 hours.